/*
 * Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef TRT_BATCHED_NMS_INFERENCE_H
#define TRT_BATCHED_NMS_INFERENCE_H
#include "plugin.h"

using namespace nvinfer1;
using namespace nvinfer1::plugin;

pluginStatus_t nmsInference(
    cudaStream_t stream, int N, int boxesSize, int scoresSize,
    bool shareLocation, int backgroundLabelId, int numPredsPerClass,
    int numClasses, int topK, int keepTopK, float scoreThreshold,
    float iouThreshold, DataType DT_BBOX, const void* locData,
    DataType DT_SCORE, const void* confData, void* keepCount, void* nmsedBoxes,
    void* nmsedScores, void* nmsedClasses, void* workspace,
    bool isNormalized = true, bool confSigmoid = false, bool clipBoxes = true);
#endif
